Triple

T14485812
Position Surface form Disambiguated ID Type / Status
Subject SCALP Naval E359225 entity
Predicate terminalSeekerType P114409 FINISHED
Object imaging infrared LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: imaging infrared | Statement: [SCALP Naval, terminalSeekerType, imaging infrared]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: terminalSeekerType
Context triple: [SCALP Naval, terminalSeekerType, imaging infrared]
  • A. terminusType
    Indicates the specific kind or role of an endpoint or terminal within a route, network, or process.
  • B. seekerType
    Indicates the specific category or role of the entity that is performing or initiating the seeking action in the relationship.
  • C. terminal
    Indicates that one entity is the final or end point in a process, sequence, or structure, beyond which no further continuation occurs.
  • D. TerminalEUsedFor
    Indicates that a terminal E is used for a particular purpose, function, or activity.
  • E. terminalFunction
    Indicates that an entity serves as an endpoint or final functional unit within a larger structure, process, or system.
  • F. None of above. chosen

Provenance (4 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
PD Predicate disambiguation batch_69de5c487b4c819097803e58dca628a5 completed April 14, 2026, 3:24 p.m.
PDg Predicate description generation batch_69de5fb4de14819092acdecbd201d672 completed April 14, 2026, 3:39 p.m.
Created at: April 10, 2026, 1:20 a.m.